Animations of uncertainty growth rates from operational ensemble prediction systems, for the time period 20 November 2020 – 10 March 2021 ...

These animations show so-called Lagrangian growth rates (LGR) of forecast uncertainty based on operational ensemble prediction systems. The first animation shows LGR of potential vorticity on 315 K from the ECMWF ensemble data assimilation background forecasts, and the second animation shows LGR of...

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Bibliographic Details
Main Authors: Rodwell, Mark, Wernli, Heini
Format: Article in Journal/Newspaper
Language:English
Published: ETH Zurich 2023
Subjects:
North Atlantic
Online Access:https://dx.doi.org/10.3929/ethz-b-000605102
http://hdl.handle.net/20.500.11850/605102
id ftdatacite:10.3929/ethz-b-000605102
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spelling ftdatacite:10.3929/ethz-b-000605102 2024-04-28T08:30:12+00:00 Animations of uncertainty growth rates from operational ensemble prediction systems, for the time period 20 November 2020 – 10 March 2021 ... Rodwell, Mark Wernli, Heini 2023 .pptx application/vnd.openxmlformats-officedocument.presentationml.presentation 0.99 GB https://dx.doi.org/10.3929/ethz-b-000605102 http://hdl.handle.net/20.500.11850/605102 en eng ETH Zurich article Other Research Data CreativeWork 2023 ftdatacite https://doi.org/10.3929/ethz-b-000605102 2024-04-02T12:32:08Z These animations show so-called Lagrangian growth rates (LGR) of forecast uncertainty based on operational ensemble prediction systems. The first animation shows LGR of potential vorticity on 315 K from the ECMWF ensemble data assimilation background forecasts, and the second animation shows LGR of geopotential height at 250 hPa from four TIGGE ensemble systems (ECMWF, JMA, NCEP and UKMO). Animations show hourly fields over the North Atlantic region for the period 20 November 2020 – 10 March 2021. ... Article in Journal/Newspaper North Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description These animations show so-called Lagrangian growth rates (LGR) of forecast uncertainty based on operational ensemble prediction systems. The first animation shows LGR of potential vorticity on 315 K from the ECMWF ensemble data assimilation background forecasts, and the second animation shows LGR of geopotential height at 250 hPa from four TIGGE ensemble systems (ECMWF, JMA, NCEP and UKMO). Animations show hourly fields over the North Atlantic region for the period 20 November 2020 – 10 March 2021. ...
format Article in Journal/Newspaper
author Rodwell, Mark
Wernli, Heini
spellingShingle Rodwell, Mark
Wernli, Heini
Animations of uncertainty growth rates from operational ensemble prediction systems, for the time period 20 November 2020 – 10 March 2021 ...
author_facet Rodwell, Mark
Wernli, Heini
author_sort Rodwell, Mark
title Animations of uncertainty growth rates from operational ensemble prediction systems, for the time period 20 November 2020 – 10 March 2021 ...
title_short Animations of uncertainty growth rates from operational ensemble prediction systems, for the time period 20 November 2020 – 10 March 2021 ...
title_full Animations of uncertainty growth rates from operational ensemble prediction systems, for the time period 20 November 2020 – 10 March 2021 ...
title_fullStr Animations of uncertainty growth rates from operational ensemble prediction systems, for the time period 20 November 2020 – 10 March 2021 ...
title_full_unstemmed Animations of uncertainty growth rates from operational ensemble prediction systems, for the time period 20 November 2020 – 10 March 2021 ...
title_sort animations of uncertainty growth rates from operational ensemble prediction systems, for the time period 20 november 2020 – 10 march 2021 ...
publisher ETH Zurich
publishDate 2023
url https://dx.doi.org/10.3929/ethz-b-000605102
http://hdl.handle.net/20.500.11850/605102
genre North Atlantic
genre_facet North Atlantic
op_doi https://doi.org/10.3929/ethz-b-000605102
_version_ 1797588150207381504

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